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Neural networks that leverage JULIA-radar and digisonde observations to predict Spread F.

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FIRST-JULIA-NN

  1. Get the full dataset inside the data directory. (Data_Julia subdir and Completed_SAO_V3.hdf5 file)
  2. Install requirements
pip install -r requirements.txt
  1. Create partitions
python main.py root=(pwd)
  1. Generate folds and run study
python main.py root=(cwd) action=run_study

To train using CPU:

python main.py root=(cwd) action=run_study training.device=cpu

Other instructions

  1. Compile C++ (Arrow/Plasma/Parquet)
clang++ src/test.cc --std=c++17 -larrow -lplasma -lparquet

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